Critical Minerals in Ores - geochemistry database

Maintenance and Update Frequency: asNeeded | Statement: The data is sourced from multiple databases maintained by Geoscience Australia (OZMIN, GEOCHEM), Geological Survey of Canada and provincial Canadians geological surveys, US Geological Survey (MRDS and others), Geological Survey of Queensland, and Curtin University (OSNACA). The data has been collated into a central database maintained by Geoscience Australia, standardised, QA checked, and is delivered as an OGC web service using Geoserver. | Purpose Although designed to document the concentrations of critical minerals for a range of mineral deposits and deposit types, the dataset also has a range of other potential uses, including establishing the full geochemical characteristics of deposit types for mineral exploration, geochemical classification of deposits, establishing potential environmental hazards and ore processing. The current limitation of the dataset for the data mining purposes and for relating geochemical features to particular deposit environments, groups and types are the existing gaps in the open and compiled data. | This database contains geochemical analyses of over 7000 samples collected from or near mineral deposits from 60 countries, compiled by the Critical Minerals Mapping Initiative (CMMI), a collaboration between Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS). Data was compiled from a number of publicly-available sources, including federal and provincial government mineral deposit and geochemistry databases, and the ore samples normalised to average crustal abundance (OSNACA) database compiled by the Centre for Exploration Targeting at the University of Western Australia. Geochemical data cover the majority of the periodic table, with metadata on analytical methods and detection limits. Where available, sample descriptions include lithology, mineralogy, and host stratigraphic units. Mineral deposits are classified according to the CMMI mineral deposit classification scheme (Hofstra et al., 2021). Location information includes deposit or prospect name, and sampling location (i.e., mine, field site, or borehole collar). This dataset will be updated periodically as more data become available. Geoscience Australia: D Champion, O Raymond, D Huston, M Sexton, E Bastrakov, S van der Wielen, G Butcher, S Hawkins, J Lane, K Czarnota, I Schroder, S McAlpine, A Britt Geological Survey of Canada: K Lauzière, C Lawley, M Gadd